Senior ML Engineer — Generative AI for Creative Tools

Adobe; San Francisco (CA); On-site; USD 163,200 - 236,400; Full time

Job summary

Adobe is seeking a Senior Machine Learning Engineer to power intelligence inside Illustrator, InDesign, and new AI-enabled experiences. This hands-on role covers the full stack from discriminative models to generative copilots, with a focus on production ML systems, evaluation, and MLOps foundations.

You will collaborate with Product, Engineering, and Data Science teams to design and ship models, build data pipelines, and monitor performance across creative tools and in-product workflows in a

Qualifications

• Bachelor's in a quantitative field or equivalent practical experience.
• 5+ years building, deploying, and operating ML systems in production at scale.
• Strong core ML: feature engineering and supervised/unsupervised models.
• Experience with modern GenAI (LLMs, embeddings, fine-tuning, or agent design).
• Fluency in Python and SQL, and ML tooling ecosystem.
• Rigorous offline and online evaluation and experimentation design.

Responsibilities

• Partner with Product, Engineering, and Data Science to define problems and translate research into shipped experiences.
• Design, prototype, and ship models powering product features (predictive, ranking, generative, agentic).
• Own end-to-end evaluation and monitoring; build training, versioning, and retraining pipelines.

Skills

ML systems

Python

SQL

GenAI

RAG

LLMs

Evaluation design

Communication

Education

Bachelor's degree in CS/ML/Data Science/Engineering

Tools

MLflow/Databricks

Feature Store

CI/CD

Job description

Adobe is seeking a Senior Machine Learning Engineer to power intelligence inside Illustrator, InDesign, and new AI-enabled experiences. This hands-on role covers the full stack from discriminative models to generative copilots, with a focus on production ML systems, evaluation, and MLOps foundations.

You will collaborate with Product, Engineering, and Data Science teams to design and ship models, build data pipelines, and monitor performance across creative tools and in-product workflows in a